Learning qualitative models from numerical data
نویسندگان
چکیده
منابع مشابه
Learning qualitative models from numerical data
Qualitative models are predictive models which describe how changes in values of input variables a ect the output variable in qualitative terms, e.g. increasing or decreasing. We describe Padé, a new method for qualitative learning which estimates partial derivatives of the target function from training data and uses them to induce qualitative models of the target function. We formulated three ...
متن کاملLearning Qualitative Models from Numerical Data: Extended abstract
Qualitative models are predictive models that describe how changes in values of input variables affect the output variable in qualitative terms, e.g. increasing or decreasing. We describe Padé, a new method for qualitative learning which estimates partial derivatives of the target function from training data and uses them to induce qualitative models of the target function. We formulated three ...
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Qualitative models provide the domain knowledge for qualitative reasoning systems, and the automatic generation of such models is an important knowledge acquisition task . Qualitative Simulation is a key qualitativ e reasoning technique . It is proposed that simulation systems like Kuipers ' QSIM [Kuipers 86] contain a powerful description language, based as they are on qualitativ e mathematics...
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In this paper, we describe the autonomous learning of qualitative models with a robot’s on-board vision. Those models are used to describe spatio-temporal qualitative relations between observed objects. Therefore, the algorithm QING is described which extracts the necessary qualitative relations between the objects from the sequence of images. The robot uses these features together with other s...
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ژورنال
عنوان ژورنال: Artificial Intelligence
سال: 2011
ISSN: 0004-3702
DOI: 10.1016/j.artint.2011.02.004